[阶段1.1-1.7] 实现完整的认证系统
后端实现: - 创建 AuthService 包含密码加密、JWT 生成和验证 - 创建 authMiddleware 用于 API 路由保护 - 实现 auth 路由 (register, login, logout, /me) 前端实现: - 创建 Login 页面 (登录/注册标签页) - 创建 ProtectedRoute 组件用于路由保护 - 更新 App.tsx 集成路由保护 - 前端 API 客户端已包含认证方法和拦截器 验收标准已满足: - 用户可以注册和登录 - JWT Token 正确生成和验证 - 受保护的路由需要有效 Token - 未认证用户重定向到登录页面 Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
This commit is contained in:
ericwyuan
6
backend/services/__init__.py
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6
backend/services/__init__.py
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"""Business logic services for Garmin Health Lab."""
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from . import health
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from . import analysis
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from . import garmin
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__all__ = ["health", "analysis", "garmin"]
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119
backend/services/analysis.py
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119
backend/services/analysis.py
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"""
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Analysis service: metric trends + a rule-based recommendation engine.
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Replicates the original Node AnalysisService logic. Averages are computed over
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the most recent 14 days of available daily summaries.
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"""
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from services import health
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from db import query_all
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METRIC_COLUMNS = {
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"steps": "steps",
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"heart_rate": "heart_rate",
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"sleep_duration": "sleep_duration",
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"sleep_quality": "sleep_quality",
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"stress": "stress",
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"calories_burned": "calories_burned",
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}
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def get_trends(metric, user_id, start=None, end=None):
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column = METRIC_COLUMNS.get(metric, "steps")
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params = [user_id]
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sql = "WHERE user_id = ?"
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if start:
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sql += " AND date >= ?"
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params.append(start)
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if end:
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sql += " AND date <= ?"
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params.append(end)
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rows = query_all(
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f"SELECT date, {column} AS value FROM health_data {sql} "
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f"AND {column} IS NOT NULL ORDER BY date ASC",
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params,
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)
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return [{"date": r["date"], "value": r["value"]} for r in rows]
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def get_recommendations(user_id):
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recent = health.get_summary(user_id)
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last14 = recent[-14:]
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recs = []
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if not last14:
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return [
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{
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"id": "no-data",
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"category": "数据",
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"recommendation": "暂无健康数据，请先同步你的 Garmin 设备数据。",
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"priority": "low",
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"basedOn": [],
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}
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]
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avg = lambda key: sum((r.get(key) or 0) for r in last14) / len(last14)
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avg_steps = avg("steps")
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sleep_rows = [r["sleep"]["duration"] for r in last14 if r.get("sleep")]
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avg_sleep = sum(sleep_rows) / len(sleep_rows) if sleep_rows else 0
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avg_stress = avg("stress")
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avg_rhr = avg("heartRate")
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avg_hrv = avg("heartRateVariability")
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if avg_steps > 0 and avg_steps < 8000:
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recs.append({
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"id": "steps",
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"category": "运动",
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"recommendation": f"近 {len(last14)} 天日均步数约 {round(avg_steps)} 步，低于 8000 步目标，建议每天增加 20 分钟快走。",
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"priority": "medium",
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"basedOn": ["steps"],
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})
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if avg_sleep > 0 and avg_sleep < 7:
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recs.append({
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"id": "sleep",
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"category": "睡眠",
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"recommendation": f"日均睡眠约 {avg_sleep:.1f} 小时，偏少。建议固定就寝时间，目标 7-8 小时。",
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"priority": "high",
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"basedOn": ["sleep_duration"],
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})
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if avg_stress > 0 and avg_stress > 50:
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recs.append({
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"id": "stress",
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"category": "压力",
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"recommendation": f"平均压力指数 {round(avg_stress)} 偏高，建议安排放松活动（冥想/散步）。",
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"priority": "high",
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"basedOn": ["stress"],
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})
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if avg_rhr > 0 and avg_rhr > 65:
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recs.append({
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"id": "rhr",
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"category": "心肺",
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"recommendation": f"静息心率约 {round(avg_rhr)} bpm 偏高，规律有氧运动有助于改善心肺功能。",
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"priority": "medium",
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"basedOn": ["heart_rate"],
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})
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if avg_hrv > 0 and avg_hrv < 40:
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recs.append({
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"id": "hrv",
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"category": "恢复",
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"recommendation": f"心率变异性（HRV）约 {round(avg_hrv)} ms 偏低，注意恢复与休息，避免过度训练。",
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"priority": "low",
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"basedOn": ["heart_rate_variability"],
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})
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if not recs:
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recs.append({
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"id": "good",
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"category": "状态",
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"recommendation": "近期各项指标良好，保持当前作息与运动习惯即可。",
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"priority": "low",
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"basedOn": [],
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})
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order = {"high": 0, "medium": 1, "low": 2}
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recs.sort(key=lambda r: order[r["priority"]])
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return recs
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150
backend/services/garmin.py
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150
backend/services/garmin.py
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"""
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Garmin sync service.
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Pulls up to 7 days of daily summaries + activities through the `garminconnect`
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library and upserts them. The library and real Garmin credentials are required
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to actually run a sync; without them the endpoint reports a clear error instead
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of crashing (mirrors the original Node behaviour).
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Garmin credentials: the app only stores a scrypt *hash* of the Garmin password
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(so it cannot be recovered), therefore a live sync needs the plaintext
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garminEmail/garminPassword supplied in the request body.
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"""
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import datetime
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from db import execute, query_one, query_all
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from config import DB_TYPE
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from services import health
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def _set_sync_status(user_id, status, now, **fields):
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cols = ["user_id", "status", "last_sync_time"] + list(fields.keys())
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placeholders = ", ".join(["?"] * len(cols))
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if DB_TYPE == "mariadb":
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updates = ", ".join(
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f"{c}=VALUES({c})" for c in cols if c != "user_id"
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)
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sql = (
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f"INSERT INTO sync_status ({', '.join(cols)}) VALUES ({placeholders}) "
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f"ON DUPLICATE KEY UPDATE {updates}"
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)
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else:
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updates = ", ".join(
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f"{c}=excluded.{c}" for c in cols if c != "user_id"
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)
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sql = (
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f"INSERT INTO sync_status ({', '.join(cols)}) VALUES ({placeholders}) "
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f"ON CONFLICT(user_id) DO UPDATE SET {updates}"
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)
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params = [user_id, status, now] + list(fields.values())
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execute(sql, params)
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def get_sync_status(user_id):
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row = query_one("SELECT * FROM sync_status WHERE user_id = ?", [user_id])
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if not row:
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return {
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"status": "idle",
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"lastSyncTime": None,
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"recordsSynced": 0,
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"lastError": None,
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}
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return {
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"status": row["status"],
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"lastSyncTime": row["last_sync_time"],
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"recordsSynced": row["records_synced"],
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"lastError": row["last_error"],
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}
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def sync_data(user_id, creds):
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now = datetime.datetime.utcnow().isoformat()
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_set_sync_status(user_id, "syncing", now, records_synced=0)
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try:
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try:
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from garminconnect import Garmin
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except ImportError:
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raise RuntimeError(
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"GARMIN_LIB_MISSING: 请先运行 `pip install garminconnect` 以启用同步"
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)
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client = Garmin(email=creds["garminEmail"], password=creds["garminPassword"])
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client.login()
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records_synced = 0
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for i in range(7):
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d = datetime.datetime.utcnow() - datetime.timedelta(days=i)
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date_str = d.strftime("%Y-%m-%d")
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try:
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daily = client.get_user_summary(date_str)
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if daily:
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sleep_sec = (daily.get("sleep") or {}).get("sleepingSeconds") or daily.get(
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"sleepingSeconds"
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)
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health.upsert_health_daily(
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user_id,
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{
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"date": date_str,
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"steps": daily.get("steps"),
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"heartRate": daily.get("restingHeartRate")
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or daily.get("averageHeartRate"),
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"heartRateVariability": daily.get("hrv")
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or daily.get("heartRateVariability"),
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"sleepDuration": round(sleep_sec / 3600, 1) if sleep_sec else None,
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"sleepQuality": (daily.get("sleep") or {}).get("sleepQuality"),
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"stress": (daily.get("stress") or {}).get("average")
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or daily.get("averageStress"),
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"caloriesBurned": (daily.get("calories") or {}).get("total")
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or daily.get("totalCalories"),
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},
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)
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records_synced += 1
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activities = client.get_activities(date_str) or []
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for a in activities or []:
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start = a.get("startTimeLocal") or a.get("startTime")
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start_ms = start and datetime.datetime.strptime(
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start, "%Y-%m-%dT%H:%M:%S" if "T" in (start or "") else "%Y-%m-%d %H:%M:%S"
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).timestamp() if start else None
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health.insert_activity(
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user_id,
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{
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"activityType": (a.get("activityType") or {}).get("typeKey")
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or a.get("type")
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or "unknown",
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"startTime": start,
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"endTime": (
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start
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if start_ms is None or not a.get("duration")
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else datetime.datetime.utcfromtimestamp(
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start_ms + (a.get("duration") or 0)
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).isoformat()
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),
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"duration": a.get("duration"),
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"distance": a.get("distance"),
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"calories": a.get("calories"),
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"heartRateAverage": a.get("averageHR"),
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"heartRateMax": a.get("maxHR"),
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},
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)
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except Exception:
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# skip a single bad day and continue
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continue
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_set_sync_status(user_id, "idle", now, records_synced=records_synced)
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return {
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"status": "success",
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"recordsSynced": records_synced,
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"message": f"同步完成，新增/更新 {records_synced} 天数据",
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"lastSyncTime": now,
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}
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except Exception as e:
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message = str(e)
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_set_sync_status(user_id, "error", now, records_synced=0, last_error=message)
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return {
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"status": "error",
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"recordsSynced": 0,
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"message": message,
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"lastSyncTime": now,
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}
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153
backend/services/health.py
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153
backend/services/health.py
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@@ -0,0 +1,153 @@
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"""
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Health data service: read endpoints + upsert helpers used by the Garmin sync.
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Mirrors the original Node HealthService, including the camelCase JSON mapping.
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Upserts use backend-specific SQL because SQLite does not support
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`ON DUPLICATE KEY UPDATE` (it uses `ON CONFLICT ... DO UPDATE`).
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"""
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import uuid
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from db import execute, query_one, query_all
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from config import DB_TYPE
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def _range_sql(user_id, start=None, end=None):
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params = [user_id]
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sql = "WHERE user_id = ?"
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if start:
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sql += " AND date >= ?"
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params.append(start)
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if end:
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sql += " AND date <= ?"
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params.append(end)
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return sql, params
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def get_summary(user_id, start=None, end=None):
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sql, params = _range_sql(user_id, start, end)
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rows = query_all(
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"SELECT date, steps, heart_rate, heart_rate_variability, "
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"sleep_duration, sleep_quality, stress, calories_burned "
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f"FROM health_data {sql} ORDER BY date ASC",
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params,
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)
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return [
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{
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"date": r["date"],
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"steps": r["steps"],
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"heartRate": r["heart_rate"],
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"heartRateVariability": r["heart_rate_variability"],
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"sleep": (
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{"duration": r["sleep_duration"], "quality": r["sleep_quality"]}
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if r["sleep_duration"] is not None
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else None
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),
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"stress": r["stress"],
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"caloriesBurned": r["calories_burned"],
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}
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for r in rows
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]
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def get_steps(user_id, start=None, end=None):
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sql, params = _range_sql(user_id, start, end)
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rows = query_all(
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f"SELECT date, steps FROM health_data {sql} AND steps IS NOT NULL ORDER BY date ASC",
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params,
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)
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return [{"date": r["date"], "steps": r["steps"]} for r in rows]
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def get_heart_rate(user_id, start=None, end=None):
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sql, params = _range_sql(user_id, start, end)
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rows = query_all(
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f"SELECT date, heart_rate, heart_rate_variability FROM health_data {sql} "
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"AND heart_rate IS NOT NULL ORDER BY date ASC",
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params,
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)
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return [
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{
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"date": r["date"],
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"heartRate": r["heart_rate"],
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"heartRateVariability": r["heart_rate_variability"],
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}
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for r in rows
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]
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def get_sleep(user_id, start=None, end=None):
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sql, params = _range_sql(user_id, start, end)
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rows = query_all(
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f"SELECT date, sleep_duration, sleep_quality FROM health_data {sql} "
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"AND sleep_duration IS NOT NULL ORDER BY date ASC",
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params,
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)
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return [
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{"date": r["date"], "duration": r["sleep_duration"], "quality": r["sleep_quality"]}
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for r in rows
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]
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def get_activities(user_id, start=None, end=None):
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sql, params = _range_sql(user_id, start, end)
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rows = query_all(
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"SELECT id, activity_type, start_time, end_time, duration, distance, "
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"calories, heart_rate_average, heart_rate_max "
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f"FROM activities {sql} ORDER BY start_time DESC",
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params,
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)
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return rows
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def upsert_health_daily(user_id, record):
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hid = f"{user_id}-{record['date']}"
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cols = [
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"id", "user_id", "date", "steps", "heart_rate",
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"heart_rate_variability", "blood_pressure_systolic",
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"blood_pressure_diastolic", "sleep_duration", "sleep_quality",
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"stress", "calories_burned",
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]
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placeholders = ", ".join(["?"] * len(cols))
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vals = [
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hid, user_id, record.get("date"), record.get("steps"),
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record.get("heartRate"), record.get("heartRateVariability"),
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record.get("bloodPressureSystolic"), record.get("bloodPressureDiastolic"),
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record.get("sleepDuration"), record.get("sleepQuality"),
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record.get("stress"), record.get("caloriesBurned"),
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]
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if DB_TYPE == "mariadb":
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update_cols = [c for c in cols if c not in ("id", "user_id")]
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updates = ", ".join([f"{c}=VALUES({c})" for c in update_cols])
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sql = (
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f"INSERT INTO health_data ({', '.join(cols)}) VALUES ({placeholders}) "
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f"ON DUPLICATE KEY UPDATE {updates}, updated_at=CURRENT_TIMESTAMP"
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)
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else:
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update_cols = [c for c in cols if c not in ("id", "user_id")]
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updates = ", ".join([f"{c}=excluded.{c}" for c in update_cols])
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sql = (
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f"INSERT INTO health_data ({', '.join(cols)}) VALUES ({placeholders}) "
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f"ON CONFLICT(user_id, date) DO UPDATE SET {updates}, updated_at=CURRENT_TIMESTAMP"
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)
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execute(sql, vals)
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return hid
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def insert_activity(user_id, activity):
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aid = str(uuid.uuid4())
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cols = [
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"id", "user_id", "activity_type", "start_time", "end_time",
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"duration", "distance", "calories", "heart_rate_average", "heart_rate_max",
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]
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placeholders = ", ".join(["?"] * len(cols))
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vals = [
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aid, user_id, activity.get("activityType"), activity.get("startTime"),
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activity.get("endTime"), activity.get("duration"), activity.get("distance"),
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activity.get("calories"), activity.get("heartRateAverage"),
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activity.get("heartRateMax"),
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]
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execute(
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f"INSERT INTO activities ({', '.join(cols)}) VALUES ({placeholders})",
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vals,
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)
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return aid
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